Evidence map›Paper›PMID 29871813›Full record

ArticleRadiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology2018

Super-resolution T2-weighted 4D MRI for image guided radiotherapy.

Joshua N Freedman, David J Collins, Oliver J Gurney-Champion, Jamie R McClelland, Simeon Nill, Uwe Oelfke, Martin O Leach, Andreas Wetscherek

Abstract read
In one paragraph

Article in Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Motion modeling from 4D MR images of liver simulating phantom.Journal of applied clinical medical physics · 2022
    Article
  5. Review
  6. Article
  7. Rapid 4D-MRI reconstruction using a deep radial convolutional neural network: Dracula.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2021
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Joshua N FreedmanJoint Department of Physics, The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, London, UK; CR UK Cancer Imaging Centre, The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, London, UK.
David J CollinsCR UK Cancer Imaging Centre, The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, London, UK.
Oliver J Gurney-ChampionJoint Department of Physics, The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, London, UK.
Jamie R McClellandCentre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, UK.
Simeon NillJoint Department of Physics, The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, London, UK.
Uwe OelfkeJoint Department of Physics, The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, London, UK.
Martin O LeachCR UK Cancer Imaging Centre, The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, London, UK. Electronic address: Martin.Leach@icr.ac.uk.
Andreas WetscherekJoint Department of Physics, The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, London, UK.

Funding

Cancer Research UK 16464Cancer Research UK 19727Cancer Research UK 19908Cancer Research UK 21993Cancer Research UK C1060/A16464Cancer Research UK C309/A20926Cancer Research UK C33589/A19727Cancer Research UK C347/A18365Cancer Research UK C7224/A23275
6 · The paper itself

Abstract

background and purposeThe superior soft-tissue contrast of 4D-T2w MRI motivates its use for delineation in radiotherapy treatment planning. We address current limitations of slice-selective implementations, including thick slices and artefacts originating from data incompleteness and variable breathing. MATERIALS AND

methodsA method was developed to calculate midposition and 4D-T2w images of the whole thorax from continuously acquired axial and sagittal 2D-T2w MRI (1.5 × 1.5 × 5.0 mm

resultsSuper-resolution 4D-T2w MRI (1.0 × 1.0 × 1.0 mm

conclusionsA motion-modelling and super-resolution method was developed to calculate high quality 4D/midposition T2w MRI from orthogonal 2D-T2w MRI.

Indexed as

HumansImaging, Three-DimensionalMagnetic Resonance Imaging, InterventionalPhantoms, ImagingRadiotherapy, Image-GuidedRetrospective Studies4D MRIMotion vector fieldRadiotherapy treatment planningSuper resolutionT2w 4D MRI

Identifiers

PMID29871813
PMCPMC6294732

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.